Artificial intelligence can enhance risk assessment in surgery by analyzing complex datasets, improving outcomes for patients.

• Machine learning algorithms effectively predict postoperative mortality and major adverse cardiovascular events.
• Predicting technical complications like anastomotic leaks is more challenging with current data.

Surgeons should view AI as a tool for informed decision-making, not a replacement for clinical judgment.

• Focus on improving data quality and validation for better risk predictions in the surgical field.